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Establishing Trust in a Data Curation: OAIS and TRAC applied to a Data Staging Repository (DataStaR). Gail Steinhart Cornell University Library Ann Green Digital Life Cycle Research & Consulting Dianne Dietrich Cornell University Library. - PowerPoint PPT Presentation
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Establishing Trust in a Data Curation: OAIS and TRAC applied to a Data Staging Repository (DataStaR)
Gail SteinhartCornell University Library
Ann GreenDigital Life Cycle Research & Consulting
Dianne DietrichCornell University Library
IASSIST 2009
Image courtesy of the Cornell Biological Field Station
What exactly is a data staging repository?
IASSIST 2009
Permanent Repository(domain,
institutional)
DataStaR
usercolleague
metadata
upload publish
publish
disseminate
create
data set
share
Where does it fit in the life cycle?
IASSIST 2009http://www.dcc.ac.uk/docs/publications/DCCLifecycle.pdf
Where does it fit in the life cycle?
IASSIST 2009http://www.dcc.ac.uk/docs/publications/DCCLifecycle.pdf
But DataStaR isn’t a preservation repository...
IASSIST 2009
“...if repository developers and administrators are guided by a reference model, they are more likely to consider the right issues.”
Allinson 2006: OAIS as a Reference Model for Repositories: An Evaluation
“A repository is Trusted if it can demonstrate its capacity to fulfill its specified functions, and if and if those (...) functions satisfy (...) minimal criteria which all trusted repositories are assumed to require.”
DigitalPreservationEurope 2008: Repository Planning Checklist and Guidance
An OAIS view of DataStaR
IASSIST 2009
Permanent Repository(domain,
institutional)
DataStaR
usercolleague
metadata
upload publish
publish
disseminate
create
data set
share
An OAIS view of DataStaR
IASSIST 2009
Permanent Repository(domain,
institutional)
DataStaR
colleague
metadata
upload publish
publish
disseminate
create
data set
shareuser
“pre”-SIP
An OAIS view of DataStaR
IASSIST 2009
Permanent Repository(domain,
institutional)
DataStaR
colleague
metadata
upload publish
publish
disseminate
create
data set
shareuser
“pre”-SIP
AIP
DIP
An OAIS view of DataStaR
IASSIST 2009
Permanent Repository(domain,
institutional)
DataStaR
colleague
metadata
upload publish
publish
disseminate
create
data set
shareuser
“pre”-SIP
AIP
DIP
SIP
OAISAn OAIS view of DataStaR
IASSIST 2009
Permanent Repository(domain,
institutional)
DataStaR
colleague
metadata
upload publish
publish
disseminate
create
data set
shareuser
“pre”-SIP
AIP
DIP
SIP
DIP
AIP
Look at other approaches to implementation
IASSIST 2009
IASSIST 2009
Put TRAC into context
What did DataStaR need...
IASSIST 2009
Three things:
• Data depositor agreement• Set of repository policies• System documentation
Data deposit agreement
IASSIST 2009
Repository policies
IASSIST 2009
System documentation
IASSIST 2009
System documentation
IASSIST 2009
How did we do?
IASSIST 2009
How did we do?
IASSIST 2009
Number and percentage of TRAC criteria addressed by (agreement, policies, system)
TRAC SECTION
Depositor agreement
Repository policies
System doc/ requirements
A (24 criteria) 6 (25%) 9 (38%) 3 (13%)
B (44 criteria) 4 (9%) 14 (32%) 30 (68%)
C (16 criteria) 0 0 6 (38%)
TRAC SECTION
Depositor agreement
Repository policies
System doc/ requirements
A (24 criteria) 6 (25%) 9 (38%) 3 (13%)
B (44 criteria) 4 (9%) 14 (32%) 30 (68%)
C (16 criteria) 0 0 6 (38%)
How did we do?
IASSIST 2009
Number and percentage of TRAC criteria addressed by (agreement, policies, system)
• Section A criteria (organizational infrastructure) addressed mainly by policy
TRAC SECTION
Depositor agreement
Repository policies
System doc/ requirements
A (24 criteria) 6 (25%) 9 (38%) 3 (13%)
B (44 criteria) 4 (9%) 14 (32%) 30 (68%)
C (16 criteria) 0 0 6 (38%)
How did we do?
IASSIST 2009
Number and percentage of TRAC criteria addressed by (agreement, policies, system)
• Section A criteria (organizational infrastructure) addressed mainly by policy
• Section B and C criteria (digital object management and technologies, technical infrastructure and security addressed mainly (but not exclusively) by system
What didn’t we do?
IASSIST 2009
TRAC SECTION Address at transition to production system
Not relevant to DataStaR
A (24 criteria) 11 (46%) 1 (4%)
B (44 criteria) 0 8 (18%)
C (16 criteria) 10 (63%) 0
TOTAL (84 criteria) 21 (25%) 9 (11%)
We are making an effort to address 64% of the TRAC criteria, in the pilot phase.
Some observations
IASSIST 2009
• Understanding/interpreting the criteria is a lot of work.• The right tools might simplify policy development.• The right software might simplify system specification.• Compiling /presenting evidence: for auditors, or for users?• Picking your partners...
TRAC has a lot to offer, even if long-term preservation isn’t your focus.
IASSIST 2009
Thank you. Gail [email protected]
Dianne [email protected]
Image courtesy of the Cornell Biological Field Station
This material is based upon work supported by the National Science Foundation under Grant No. III-0712989. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
datastar.mannlib.cornell.edu